{"id":"https://openalex.org/W4387682146","doi":"https://doi.org/10.1109/jbhi.2023.3324709","title":"lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization","display_name":"lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4387682146","doi":"https://doi.org/10.1109/jbhi.2023.3324709","pmid":"https://pubmed.ncbi.nlm.nih.gov/37843994"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3324709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3324709","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103098591","display_name":"Haibin Liu","orcid":"https://orcid.org/0009-0006-1452-363X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haibin Liu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019825520","display_name":"Dianguo Li","orcid":"https://orcid.org/0000-0002-3993-5175"},"institutions":[{"id":"https://openalex.org/I4210103957","display_name":"Second Hospital of Shandong University","ror":"https://ror.org/01fd86n56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210103957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianguo Li","raw_affiliation_strings":["Department of Pediatric Surgery, Second Hospital of Shandong University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Department of Pediatric Surgery, Second Hospital of Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I4210103957"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036176693","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0003-2340-9258"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103098591"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":7.1783,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97409376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"1","first_page":"538","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276408672332764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6290554404258728},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5409058928489685},{"id":"https://openalex.org/keywords/subcellular-localization","display_name":"Subcellular localization","score":0.5372469425201416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4907268285751343},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47973814606666565},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.33522331714630127},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.22032296657562256},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10072499513626099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276408672332764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6290554404258728},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5409058928489685},{"id":"https://openalex.org/C2776879804","wikidata":"https://www.wikidata.org/wiki/Q7630919","display_name":"Subcellular localization","level":3,"score":0.5372469425201416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4907268285751343},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47973814606666565},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.33522331714630127},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.22032296657562256},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10072499513626099},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3324709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3324709","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37843994","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37843994","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2698802062","display_name":null,"funder_award_id":"2021YFF0704103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3278557419","display_name":null,"funder_award_id":"62272278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G715904284","display_name":null,"funder_award_id":"61972322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2036812273","https://openalex.org/W2051282896","https://openalex.org/W2078894229","https://openalex.org/W2167491742","https://openalex.org/W2250539671","https://openalex.org/W2412468460","https://openalex.org/W2508362099","https://openalex.org/W2635766923","https://openalex.org/W2753322986","https://openalex.org/W2765281581","https://openalex.org/W2789926271","https://openalex.org/W2808191239","https://openalex.org/W2808950870","https://openalex.org/W2891527769","https://openalex.org/W2949674037","https://openalex.org/W2963351448","https://openalex.org/W2990257819","https://openalex.org/W2999012158","https://openalex.org/W3012597377","https://openalex.org/W3014482461","https://openalex.org/W3099867746","https://openalex.org/W3122576841","https://openalex.org/W3131932009","https://openalex.org/W3164597438","https://openalex.org/W3174714560","https://openalex.org/W3197480694","https://openalex.org/W3198604700","https://openalex.org/W4210317604","https://openalex.org/W4210880116","https://openalex.org/W4213432709","https://openalex.org/W4214890241","https://openalex.org/W4292722723","https://openalex.org/W4293728835","https://openalex.org/W4297257598","https://openalex.org/W6682691769","https://openalex.org/W6764733053"],"related_works":["https://openalex.org/W4366498163","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2,34,80],"highlighted":[3],"the":[4,46,74,88,102,129,164,169,178,194,201,231,243,249,259,283],"critical":[5],"roles":[6],"of":[7,45,49,76,91,104,132,161,172,180,234,245,251,285],"long":[8],"non-coding":[9],"RNAs":[10],"(lncRNAs)":[11],"in":[12,40,101,282],"various":[13,268],"biological":[14],"processes,":[15],"including":[16,145,163],"but":[17],"not":[18],"limited":[19],"to":[20,261],"dosage":[21],"compensation,":[22],"epigenetic":[23],"regulation,":[24,27],"cell":[25,29],"cycle":[26],"and":[28,68,150,168,210,248,287],"differentiation":[30],"regulation.":[31],"Consequently,":[32],"lncRNAs":[33,50],"emerged":[35,81],"as":[36,82,263],"a":[37,83,96,119,237,264,273],"central":[38],"focus":[39],"genetic":[41],"studies.":[42],"The":[43,255],"identification":[44],"subcellular":[47,89,130,232],"localization":[48,90,131,233],"is":[51,95,240],"essential":[52],"for":[53,86,98,127,229,242,267],"gaining":[54],"insights":[55],"into":[56],"crucial":[57],"information":[58],"about":[59],"lncRNA":[60,137],"interaction":[61],"partners,":[62],"post-":[63],"or":[64],"co-transcriptional":[65],"regulatory":[66],"modifications,":[67],"external":[69],"stimuli":[70],"that":[71,276],"directly":[72],"impact":[73],"function":[75,199],"lncRNA.":[77],"Computational":[78],"methods":[79,106],"promising":[84],"avenue":[85],"predicting":[87,128,230],"lncRNAs.":[92,133,235],"However,":[93],"there":[94],"need":[97],"additional":[99],"enhancement":[100],"performance":[103,182],"current":[105],"when":[107,186],"dealing":[108],"with":[109,188,205],"unbalanced":[110,189,252],"data":[111,190,253],"sets.":[112,254],"To":[113,134,176],"address":[114,177],"this":[115],"challenge,":[116],"we":[117,192],"propose":[118],"novel":[120,238],"ensemble":[121,225],"deep":[122,226],"learning":[123,208,227],"framework,":[124],"termed":[125],"lncLocator-imb,":[126],"fully":[135],"exploit":[136],"sequence":[138],"information,":[139],"lncLocator-imb":[140,214],"integrates":[141],"two":[142,158],"base":[143],"classifiers,":[144],"convolutional":[146],"neural":[147],"networks":[148],"(CNN)":[149],"gated":[151],"recurrent":[152],"units":[153],"(GRU).":[154],"Additionally,":[155,236],"it":[156],"incorporates":[157],"distinct":[159],"types":[160],"features,":[162],"physicochemical":[165],"pattern":[166],"feature":[167],"distributed":[170],"representation":[171],"nucleic":[173],"acids":[174],"feature.":[175],"problem":[179],"poor":[181],"exhibited":[183],"by":[184,280],"models":[185,209],"confronted":[187],"sets,":[191],"utilize":[193],"label-distribution-aware":[195],"margin":[196],"(LDAM)":[197],"loss":[198],"during":[200],"training":[202],"process.":[203],"Compared":[204],"traditional":[206],"machine":[207],"currently":[211],"available":[212],"predictors,":[213],"demonstrates":[215],"more":[216],"robust":[217],"category":[218],"imbalance":[219],"tolerance.":[220],"Our":[221],"study":[222],"proposes":[223],"an":[224],"framework":[228,257],"approach":[239],"presented":[241],"management":[244],"different":[246],"features":[247],"resolution":[250],"proposed":[256],"exhibits":[258],"potential":[260],"serve":[262],"significant":[265],"resource":[266],"sequence-based":[269],"prediction":[270],"tasks,":[271],"providing":[272],"versatile":[274],"tool":[275],"can":[277],"be":[278],"utilized":[279],"professionals":[281],"fields":[284],"bioinformatics":[286],"genetics.":[288]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":11}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}